code: def _histogram_fixed_width(
      values, value_range, nbins=100, dtype=np.int32, name=None
  ):
      """Numpy implementation of `tf.histogram_fixed_width`."""
      del name
      return np.histogram(values, bins=nbins, range=value_range)[
          0
      ].astype(utils.numpy_dtype(dtype))
  
file_path: probability/tensorflow_probability/python/internal/backend/numpy/misc.py
imports: import collections
  import numpy
  from tensorflow_probability.python.internal.backend.numpy import _utils
  from tensorflow_probability.python.internal.backend.numpy import errors
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import floor
  from tensorflow_probability.python.internal.backend.numpy.numpy_math import truediv
  from tensorflow_probability.python.internal.backend.numpy.ops import _convert_to_tensor
  from tensorflow_probability.python.internal.backend.numpy.ops import clip_by_value
  from tensorflow_probability.python.internal.backend.numpy.ops import is_tensor
label_desc: Use image node_id 2 for calling a global function with example usage: _histogram_fixed_width(values, value_range, nbins, dtype, name) and returns: np